Mali Gregor, Patel Manu U M, Mazaj Matjaž, Dominko Robert
National Institute of Chemistry, Hajdrihova 19, SI-1001, Ljubljana, Slovenia.
Chemistry. 2016 Mar 1;22(10):3355-3360. doi: 10.1002/chem.201504242. Epub 2016 Feb 2.
For the design of light-metal-sulfur batteries and for the understanding of their performance, knowledge on the stable crystalline polysulfides is very important. We confronted experimental and ab initio crystal structure prediction studies on the stability of Na polysulfides. The selected evolutionary-based structure-prediction algorithm was able to quickly and correctly predict the thermodynamically stable crystalline forms of Na polysulfides with small unit cells. For Na polysulfides with large unit cells, the algorithm correctly proposed short unbranched polysulfide chains to be energetically favorite structural motifs, but could not find proper three-dimensional structures in the limited number of generations. Experimentally, the polysulfides were studied by X-ray diffraction and Na solid-state NMR spectroscopy. Complemented by calculations of the isotropic chemical shifts and quadrupolar coupling constants, NMR spectroscopy proved to be an excellent tool for the examination of Na polysulfides, because it allowed easy distinction and quantification of components in the samples.
对于轻金属硫电池的设计以及理解其性能而言,了解稳定的结晶多硫化物非常重要。我们对钠多硫化物稳定性的实验研究和从头算晶体结构预测研究进行了对比。所选用的基于演化的结构预测算法能够快速且正确地预测具有小晶胞的钠多硫化物的热力学稳定晶体形式。对于具有大晶胞的钠多硫化物,该算法正确地提出短的无支链多硫化物链是能量上有利的结构基序,但在有限的代数内无法找到合适的三维结构。在实验中,通过X射线衍射和钠固态核磁共振光谱对多硫化物进行了研究。通过对各向同性化学位移和四极耦合常数的计算进行补充,核磁共振光谱被证明是研究钠多硫化物的出色工具,因为它能够轻松区分和定量样品中的成分。